公开(公告)号：US11977577B2

公开(公告)日：2024-05-07

申请号：US18331245

申请日：2023-06-08

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/00 ,  G06F16/635 ,  G06F16/638 ,  G06F18/21

CPC classification number: G06F16/637 ,  G06F16/639 ,  G06F18/217

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US10223063B2

公开(公告)日：2019-03-05

申请号：US15696964

申请日：2017-09-06

Applicant: Spotify AB

Inventor： Clay Gibson ,  Will Shapiro ,  Santiago Gil ,  Ian Anderson ,  Margreth Mpossi ,  Oguz Semerci ,  Scott Wolf ,  Benjamin Lacker

IPC: G06F17/30 ,  G06F3/16 ,  H04L29/08 ,  H04N21/262 ,  H04N21/24 ,  H04N21/258 ,  H04L29/06

Abstract: An electronic device is associated with a media-providing service. The electronic has one or more processors and memory storing instructions for execution by the one or more processors. For each track of a plurality of tracks consumed by a user of the media-providing service, the electronic device determines, based on a listening history of the user with the media-providing service, whether the track has previously been consumed by the user. The electronic device determines, for the user, a discovery score based on a number of the plurality of tracks determined to not have been previously consumed by the user. The electronic device provides personalized content to the user based on the discovery score.

公开(公告)号：US20230376529A1

公开(公告)日：2023-11-23

申请号：US18331245

申请日：2023-06-08

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/635 ,  G06F16/638 ,  G06F18/21

CPC classification number: G06F16/637 ,  G06F16/639 ,  G06F18/217

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US20220237226A1

公开(公告)日：2022-07-28

申请号：US17687773

申请日：2022-03-07

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/635 ,  G06K9/62 ,  G06F16/638

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US20200012681A1

公开(公告)日：2020-01-09

申请号：US16502975

申请日：2019-07-03

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra

IPC: G06F16/635 ,  G06F16/638 ,  G06K9/62

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US11709886B2

公开(公告)日：2023-07-25

申请号：US17687773

申请日：2022-03-07

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Alois Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/00 ,  G06F16/635 ,  G06F16/638 ,  G06F18/21

CPC classification number: G06F16/637 ,  G06F16/639 ,  G06F18/217

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US11301513B2

公开(公告)日：2022-04-12

申请号：US16502975

申请日：2019-07-03

Applicant: Spotify AB

Inventor： James E. McInerney ,  Benjamin Lacker ,  Samantha Hansen ,  Aloïs Gruson ,  Rishabh Mehrotra ,  Hugues Bouchard

IPC: G06F16/00 ,  G06F16/635 ,  G06K9/62 ,  G06F16/638

Abstract: Methods, systems and computer program products are provided personalizing recommendations of items with associated explanations. The example embodiments described herein use contextual bandits to personalize explainable recommendations (“recsplanations”) as treatments (“Bart”). Bart learns and predicts satisfaction (e.g., click-through rate, consumption probability) for any combination of item, explanation, and context and, through logging and contextual bandit retraining, can learn from its mistakes in an online setting.

公开(公告)号：US11080002B2

公开(公告)日：2021-08-03

申请号：US16270490

申请日：2019-02-07

Applicant: Spotify AB

Inventor： Clay Gibson ,  Will Shapiro ,  Santiago Gil ,  Ian Anderson ,  Margreth Mpossi ,  Oguz Semerci ,  Scott Wolf ,  Benjamin Lacker

IPC: G06F16/00 ,  G06F3/16 ,  H04L29/08 ,  H04N21/262 ,  G06F16/635 ,  G06F16/638 ,  H04N21/24 ,  H04N21/258 ,  H04L29/06 ,  G06F16/2457

Abstract: An electronic device associated with a media-providing service has one or more processors and memory storing instructions for execution by the one or more processors. For each track of a plurality of tracks consumed by a user of the media-providing service, the electronic device receives, over a time window, an indication of user selection of the track to compile a listening history of the user and determines, based on the listening history of the user with the media-providing service, whether the track has previously been consumed by the user. The electronic device determines, for the user, a discovery score corresponding to an average preference of the user for selecting previously unconsumed tracks. In response to determining that an amount of use of the media-providing service by the user does not satisfy a use threshold, the electronic device forgoes recommending tracks to the user based on the discovery score.

公开(公告)号：US20180246961A1

公开(公告)日：2018-08-30

申请号：US15696964

申请日：2017-09-06

Applicant: Spotify AB

Inventor： Clay Gibson ,  Will Shapiro ,  Santiago Gil ,  Ian Anderson ,  Margreth Mpossi ,  Oguz Semerci ,  Scott Wolf ,  Benjamin Lacker

IPC: G06F17/30

CPC classification number: G06F3/165 ,  G06F17/3053 ,  G06F17/30761 ,  G06F17/30772 ,  G10H2240/131 ,  H04L65/4069 ,  H04L65/60 ,  H04L65/602 ,  H04L67/22 ,  H04L67/306 ,  H04N21/2407 ,  H04N21/25891 ,  H04N21/26258

Abstract: An electronic device is associated with a media-providing service. The electronic has one or more processors and memory storing instructions for execution by the one or more processors. For each track of a plurality of tracks consumed by a user of the media-providing service, the electronic device determines, based on a listening history of the user with the media-providing service, whether the track has previously been consumed by the user. The electronic device determines, for the user, a discovery score based on a number of the plurality of tracks determined to not have been previously consumed by the user. The electronic device provides personalized content to the user based on the discovery score.